$66,638,251.6 USD
4.18x
23.91%
As of 2022-08-21, the combined aUSD value minted is $66,638,251.6 USD.
$61,984,695.9 USD on Acala (as of block number 1687200) and $4,653,555.7 USD on Karura (as of block number 2493452).
The collateralizaion ratio is the value of the collateteral deposited divided by the amount of aUSD minted.
The combined collateralization ratio is 4.18x.
The ratio for the individual parachains are as follows: 14.21x for Acala and 4.3x for Karura.
The reciprocal of the collareralization ratio shows the stablecoin issuance as a percentage of collateral, which is 23.91% in aggregate.
Specifically, 7.04% for Acala and 23.25% for Karura.
| blockAcala | blockKarura | Date | aUSD_Karura | aUSD_Acala | aUSD_Total |
|---|---|---|---|---|---|
| 1,175,760 | 2,040,490 | 2022-06-06 | 4,179,423 | 6,143,116 | 10,322,540 |
| 1,182,503 | 2,046,816 | 2022-06-07 | 4,177,516 | 6,141,992 | 10,319,507 |
| 1,189,273 | 2,053,305 | 2022-06-08 | 4,178,977 | 6,137,929 | 10,316,907 |
| 1,196,022 | 2,059,744 | 2022-06-09 | 4,177,130 | 6,170,211 | 10,347,341 |
| 1,202,808 | 2,066,092 | 2022-06-10 | 4,149,014 | 6,136,321 | 10,285,335 |
| 1,209,560 | 2,072,325 | 2022-06-11 | 4,102,379 | 6,074,914 | 10,177,292 |
| 1,216,309 | 2,078,699 | 2022-06-12 | 4,004,056 | 5,891,343 | 9,895,398 |
| 1,222,967 | 2,084,974 | 2022-06-13 | 3,729,152 | 5,577,153 | 9,306,304 |
| 1,229,621 | 2,091,245 | 2022-06-14 | 3,735,276 | 5,568,632 | 9,303,909 |
| 1,236,320 | 2,097,549 | 2022-06-15 | 3,788,931 | 5,315,691 | 9,104,622 |
| 1,242,989 | 2,103,874 | 2022-06-16 | 3,784,345 | 5,287,516 | 9,071,861 |
| 1,249,647 | 2,110,292 | 2022-06-17 | 3,780,450 | 5,278,713 | 9,059,163 |
| 1,256,310 | 2,116,724 | 2022-06-18 | 3,744,797 | 5,247,145 | 8,991,943 |
| 1,263,003 | 2,123,104 | 2022-06-19 | 3,770,456 | 5,272,379 | 9,042,835 |
| 1,269,614 | 2,129,497 | 2022-06-20 | 3,773,566 | 4,741,005 | 8,514,571 |
| 1,276,376 | 2,135,922 | 2022-06-21 | 3,819,698 | 4,369,718 | 8,189,416 |
| 1,283,096 | 2,142,278 | 2022-06-22 | 3,827,112 | 4,370,810 | 8,197,922 |
| 1,289,783 | 2,148,575 | 2022-06-23 | 3,829,884 | 4,383,622 | 8,213,505 |
| 1,296,569 | 2,155,139 | 2022-06-24 | 3,832,776 | 4,397,323 | 8,230,099 |
| 1,303,311 | 2,161,562 | 2022-06-25 | 3,852,269 | 4,383,177 | 8,235,446 |
| 1,310,012 | 2,168,013 | 2022-06-26 | 3,876,004 | 4,374,412 | 8,250,416 |
| 1,316,693 | 2,173,904 | 2022-06-27 | 3,839,320 | 4,375,858 | 8,215,178 |
| 1,323,587 | 2,179,759 | 2022-06-28 | 3,806,037 | 4,373,729 | 8,179,766 |
| 1,330,303 | 2,185,605 | 2022-06-29 | 3,806,447 | 4,356,996 | 8,163,443 |
| 1,337,106 | 2,191,479 | 2022-06-30 | 3,774,174 | 4,331,462 | 8,105,636 |
| 1,343,825 | 2,197,147 | 2022-07-01 | 3,780,968 | 4,341,066 | 8,122,034 |
| 1,350,568 | 2,202,851 | 2022-07-02 | 3,806,688 | 4,354,300 | 8,160,989 |
| 1,357,347 | 2,208,544 | 2022-07-03 | 3,808,055 | 4,364,355 | 8,172,409 |
| 1,364,102 | 2,214,453 | 2022-07-04 | 3,812,428 | 4,372,827 | 8,185,255 |
| 1,370,943 | 2,220,335 | 2022-07-05 | 3,814,667 | 4,361,714 | 8,176,381 |
| 1,377,797 | 2,226,215 | 2022-07-06 | 3,815,652 | 4,364,384 | 8,180,036 |
| 1,384,635 | 2,232,059 | 2022-07-07 | 3,828,444 | 4,348,406 | 8,176,850 |
| 1,391,485 | 2,237,967 | 2022-07-08 | 3,837,918 | 4,347,524 | 8,185,442 |
| 1,398,299 | 2,243,857 | 2022-07-09 | 3,838,538 | 4,359,566 | 8,198,105 |
| 1,405,185 | 2,249,769 | 2022-07-10 | 3,840,756 | 4,352,234 | 8,192,990 |
| 1,411,909 | 2,255,713 | 2022-07-11 | 4,109,701 | 4,392,931 | 8,502,632 |
| 1,418,742 | 2,261,599 | 2022-07-12 | 4,107,944 | 4,358,631 | 8,466,575 |
| 1,425,585 | 2,267,294 | 2022-07-13 | 4,111,157 | 4,375,114 | 8,486,271 |
| 1,432,337 | 2,273,077 | 2022-07-14 | 4,111,947 | 4,374,531 | 8,486,478 |
| 1,439,201 | 2,278,953 | 2022-07-15 | 4,116,349 | 4,358,426 | 8,474,775 |
| 1,446,008 | 2,284,856 | 2022-07-16 | 4,116,661 | 4,348,617 | 8,465,278 |
| 1,452,960 | 2,290,692 | 2022-07-17 | 4,103,475 | 4,358,982 | 8,462,457 |
| 1,459,795 | 2,296,494 | 2022-07-18 | 4,111,415 | 4,398,737 | 8,510,151 |
| 1,466,580 | 2,302,426 | 2022-07-19 | 4,120,933 | 4,454,538 | 8,575,471 |
| 1,473,380 | 2,308,357 | 2022-07-20 | 4,126,611 | 4,500,049 | 8,626,660 |
| 1,480,245 | 2,314,283 | 2022-07-21 | 4,135,964 | 4,499,787 | 8,635,751 |
| 1,487,055 | 2,320,158 | 2022-07-22 | 4,227,100 | 4,533,147 | 8,760,248 |
| 1,493,873 | 2,326,054 | 2022-07-23 | 4,262,965 | 4,597,204 | 8,860,169 |
| 1,500,756 | 2,332,160 | 2022-07-24 | 4,266,207 | 4,605,889 | 8,872,096 |
| 1,507,666 | 2,338,259 | 2022-07-25 | 4,265,334 | 4,580,132 | 8,845,466 |
| 1,514,538 | 2,344,082 | 2022-07-26 | 4,193,132 | 4,577,767 | 8,770,899 |
| 1,521,363 | 2,349,718 | 2022-07-27 | 4,212,560 | 4,613,498 | 8,826,057 |
| 1,528,147 | 2,355,349 | 2022-07-28 | 4,216,008 | 4,623,185 | 8,839,193 |
| 1,535,018 | 2,360,978 | 2022-07-29 | 4,222,698 | 4,634,895 | 8,857,593 |
| 1,541,851 | 2,366,635 | 2022-07-30 | 4,258,459 | 4,640,917 | 8,899,376 |
| 1,548,704 | 2,372,202 | 2022-07-31 | 4,262,927 | 4,660,909 | 8,923,837 |
| 1,555,507 | 2,377,806 | 2022-08-01 | 4,267,948 | 5,783,151 | 10,051,099 |
| 1,562,419 | 2,383,360 | 2022-08-02 | 4,717,685 | 5,761,618 | 10,479,303 |
| 1,569,336 | 2,388,999 | 2022-08-03 | 4,720,206 | 5,756,487 | 10,476,693 |
| 1,576,157 | 2,394,583 | 2022-08-04 | 4,709,731 | 5,800,920 | 10,510,651 |
| 1,583,026 | 2,400,226 | 2022-08-05 | 4,719,403 | 5,854,369 | 10,573,772 |
| 1,589,971 | 2,406,084 | 2022-08-06 | 4,723,547 | 5,925,218 | 10,648,764 |
| 1,596,911 | 2,411,957 | 2022-08-07 | 4,723,069 | 5,941,852 | 10,664,921 |
| 1,603,908 | 2,417,831 | 2022-08-08 | 4,752,236 | 6,012,468 | 10,764,704 |
| 1,610,881 | 2,423,819 | 2022-08-09 | 4,763,845 | 6,113,350 | 10,877,195 |
| 1,617,841 | 2,429,866 | 2022-08-10 | 4,794,960 | 6,211,274 | 11,006,234 |
| 1,624,758 | 2,435,795 | 2022-08-11 | 4,801,615 | 6,274,030 | 11,075,645 |
| 1,631,646 | 2,441,583 | 2022-08-12 | 4,809,207 | 6,355,909 | 11,165,116 |
| 1,638,589 | 2,447,671 | 2022-08-13 | 4,805,785 | 9,195,461 | 14,001,246 |
| 1,645,126 | 2,453,431 | 2022-08-14 | 4,776,775 | 3,032,634,308 | 3,037,411,083 |
| 1,652,177 | 2,459,363 | 2022-08-15 | 4,763,269 | 3,032,634,308 | 3,037,397,577 |
| 1,658,789 | 2,465,132 | 2022-08-16 | 4,750,309 | 1,739,774,069 | 1,744,524,379 |
| 1,664,775 | 2,470,878 | 2022-08-17 | 4,750,123 | 1,739,774,069 | 1,744,524,192 |
| 1,673,113 | 2,476,517 | 2022-08-18 | 4,739,200 | 1,739,774,069 | 1,744,513,269 |
| 1,673,479 | 2,482,075 | 2022-08-19 | 4,638,080 | 1,739,774,069 | 1,744,412,149 |
| 1,687,200 | 2,493,452 | 2022-08-21 | 4,653,556 | 61,984,696 | 66,638,252 |
Please click on the Source Code link at the top of the document to see the full source code. Here is a summary:
| timestamp | ACA | DOT | LCDOT | LDOT | tDOT | Total |
|---|---|---|---|---|---|---|
| 2022-06-06T00:00:00 | 32,149,212 | 858,791.5 | 18,148,319 | 37,656,963 | 0 | 88,813,285 |
| 2022-06-07T00:00:00 | 31,450,008 | 917,979.3 | 17,940,867 | 36,946,590 | 0 | 87,255,444 |
| 2022-06-08T00:00:00 | 30,275,763 | 915,780.5 | 17,413,019 | 36,642,380 | 0 | 85,246,943 |
| 2022-06-09T00:00:00 | 30,309,521 | 922,628.8 | 17,700,179 | 37,755,726 | 0 | 86,688,056 |
| 2022-06-10T00:00:00 | 28,214,617 | 875,142.9 | 16,656,549 | 35,508,739 | 0 | 81,255,048 |
| 2022-06-11T00:00:00 | 26,233,595 | 805,465.4 | 15,491,476 | 33,084,923 | 0 | 75,615,459 |
| 2022-06-12T00:00:00 | 22,991,572 | 755,318.7 | 14,364,876 | 30,900,261 | 0 | 69,012,028 |
| 2022-06-13T00:00:00 | 22,496,740 | 603,357.8 | 12,804,107 | 28,265,405 | 0 | 64,169,610 |
| 2022-06-14T00:00:00 | 23,222,224 | 632,095.6 | 13,644,103 | 30,129,663 | 0 | 67,628,085 |
| 2022-06-15T00:00:00 | 24,635,191 | 795,036.9 | 15,350,110 | 34,491,243 | 0 | 75,271,580 |
| 2022-06-16T00:00:00 | 21,455,791 | 698,138.4 | 13,074,550 | 28,884,839 | 0 | 64,113,318 |
| 2022-06-17T00:00:00 | 21,588,106 | 708,291.1 | 13,556,319 | 30,107,827 | 0 | 65,960,543 |
| 2022-06-18T00:00:00 | 20,495,011 | 698,151.5 | 12,940,192 | 29,219,980 | 0 | 63,353,334 |
| 2022-06-19T00:00:00 | 21,666,317 | 736,484.7 | 13,704,383 | 30,874,634 | 0 | 66,981,819 |
| 2022-06-20T00:00:00 | 21,933,866 | 757,604.7 | 15,344,393 | 32,331,287 | 0 | 70,367,150 |
| 2022-06-21T00:00:00 | 22,391,510 | 783,003.7 | 15,454,004 | 32,076,181 | 0 | 70,704,699 |
| 2022-06-22T00:00:00 | 21,110,303 | 751,727.2 | 14,816,964 | 30,849,626 | 0 | 67,528,621 |
| 2022-06-23T00:00:00 | 22,411,324 | 781,462.3 | 15,312,177 | 32,069,474 | 0 | 70,574,437 |
| 2022-06-24T00:00:00 | 23,120,727 | 811,492.4 | 16,312,613 | 34,050,408 | 0 | 74,295,241 |
| 2022-06-25T00:00:00 | 22,328,789 | 780,487.2 | 15,826,700 | 33,575,946 | 0 | 72,511,923 |
| 2022-06-26T00:00:00 | 21,583,988 | 798,118.8 | 15,836,322 | 32,745,570 | 0 | 70,964,000 |
| 2022-06-27T00:00:00 | 21,879,730 | 795,040.0 | 15,324,248 | 32,619,704 | 0 | 70,618,722 |
| 2022-06-28T00:00:00 | 19,847,103 | 737,016.7 | 14,300,964 | 30,529,655 | 0 | 65,414,739 |
| 2022-06-29T00:00:00 | 19,494,983 | 703,022.7 | 13,757,575 | 29,397,328 | 0 | 63,352,909 |
| 2022-06-30T00:00:00 | 19,174,576 | 680,719.4 | 13,339,374 | 28,703,383 | 0 | 61,898,052 |
| 2022-07-01T00:00:00 | 18,991,081 | 667,664.3 | 13,317,313 | 29,121,571 | 0 | 62,097,629 |
| 2022-07-02T00:00:00 | 18,563,027 | 671,815.6 | 13,376,045 | 29,315,228 | 0 | 61,926,116 |
| 2022-07-03T00:00:00 | 18,406,482 | 706,142.6 | 13,374,999 | 29,354,634 | 0 | 61,842,258 |
| 2022-07-04T00:00:00 | 20,295,676 | 728,463.1 | 13,951,594 | 30,848,872 | 0 | 65,824,604 |
| 2022-07-05T00:00:00 | 18,995,785 | 707,868.0 | 13,447,543 | 29,737,130 | 0 | 62,888,326 |
| 2022-07-06T00:00:00 | 19,445,111 | 710,456.6 | 13,631,510 | 30,191,768 | 0 | 63,978,845 |
| 2022-07-07T00:00:00 | 19,668,445 | 681,966.7 | 14,211,968 | 31,786,189 | 0 | 66,348,569 |
| 2022-07-08T00:00:00 | 19,058,395 | 668,427.0 | 13,966,697 | 31,580,103 | 0 | 65,273,622 |
| 2022-07-09T00:00:00 | 19,827,540 | 677,465.2 | 14,300,922 | 32,287,916 | 0 | 67,093,843 |
| 2022-07-10T00:00:00 | 18,568,976 | 641,177.3 | 13,468,512 | 30,485,084 | 0 | 63,163,748 |
| 2022-07-11T00:00:00 | 17,681,063 | 614,222.3 | 12,942,713 | 29,615,778 | 0 | 60,853,776 |
| 2022-07-12T00:00:00 | 17,550,325 | 611,774.8 | 12,487,963 | 28,941,346 | 0 | 59,591,408 |
| 2022-07-13T00:00:00 | 17,918,817 | 626,714.4 | 12,615,071 | 29,286,431 | 0 | 60,447,034 |
| 2022-07-14T00:00:00 | 18,400,771 | 651,171.7 | 13,123,691 | 30,599,902 | 0 | 62,775,536 |
| 2022-07-15T00:00:00 | 18,243,398 | 647,829.0 | 13,444,888 | 32,937,709 | 0 | 65,273,824 |
| 2022-07-16T00:00:00 | 18,557,820 | 670,664.1 | 14,156,201 | 34,663,793 | 0 | 68,048,478 |
| 2022-07-17T00:00:00 | 18,523,988 | 659,963.8 | 13,997,952 | 33,856,505 | 0 | 67,038,408 |
| 2022-07-18T00:00:00 | 20,160,227 | 688,315.5 | 15,138,817 | 36,535,721 | 0 | 72,523,081 |
| 2022-07-19T00:00:00 | 20,922,192 | 750,385.3 | 15,808,215 | 38,360,177 | 0 | 75,840,969 |
| 2022-07-20T00:00:00 | 19,390,390 | 720,839.2 | 15,392,960 | 36,682,596 | 0 | 72,186,786 |
| 2022-07-21T00:00:00 | 21,495,915 | 718,839.1 | 15,218,790 | 36,908,329 | 0 | 74,341,872 |
| 2022-07-22T00:00:00 | 23,599,878 | 715,661.4 | 14,926,763 | 37,665,629 | 0 | 76,907,931 |
| 2022-07-23T00:00:00 | 22,811,534 | 727,479.5 | 15,129,212 | 37,664,469 | 0 | 76,332,695 |
| 2022-07-24T00:00:00 | 22,502,161 | 746,363.8 | 15,437,344 | 38,284,868 | 0 | 76,970,737 |
| 2022-07-25T00:00:00 | 20,408,396 | 688,271.2 | 14,219,936 | 35,628,140 | 0 | 70,944,743 |
| 2022-07-26T00:00:00 | 19,308,277 | 674,469.1 | 13,531,433 | 34,706,528 | 0 | 68,220,707 |
| 2022-07-27T00:00:00 | 20,857,124 | 748,014.4 | 15,195,497 | 38,442,238 | 0 | 75,242,874 |
| 2022-07-28T00:00:00 | 21,510,630 | 762,689.1 | 16,277,246 | 40,730,342 | 0 | 79,280,908 |
| 2022-07-29T00:00:00 | 21,625,865 | 745,266.6 | 17,259,796 | 43,154,854 | 0 | 82,785,781 |
| 2022-07-30T00:00:00 | 20,960,442 | 749,457.5 | 17,099,196 | 42,550,800 | 0 | 81,359,895 |
| 2022-07-31T00:00:00 | 21,186,304 | 794,884.7 | 17,998,663 | 45,298,046 | 0 | 85,277,898 |
| 2022-08-01T00:00:00 | 22,814,169 | 738,825.8 | 16,980,782 | 42,715,172 | 0 | 83,248,949 |
| 2022-08-02T00:00:00 | 20,909,352 | 728,714.0 | 16,567,033 | 41,792,290 | 0 | 79,997,389 |
| 2022-08-03T00:00:00 | 20,460,499 | 773,912.9 | 17,222,967 | 41,956,485 | 0 | 80,413,863 |
| 2022-08-04T00:00:00 | 23,510,513 | 743,998.2 | 16,624,930 | 42,465,311 | 0 | 83,344,752 |
| 2022-08-05T00:00:00 | 25,055,183 | 834,811.8 | 18,024,583 | 46,154,776 | 0 | 90,069,354 |
| 2022-08-06T00:00:00 | 27,456,827 | 873,856.5 | 17,867,054 | 45,277,709 | 0 | 91,475,446 |
| 2022-08-07T00:00:00 | 27,852,180 | 887,309.2 | 18,029,858 | 45,965,679 | 0 | 92,735,025 |
| 2022-08-08T00:00:00 | 27,579,970 | 967,728.9 | 19,250,929 | 49,305,821 | 0 | 97,104,448 |
| 2022-08-09T00:00:00 | 26,125,959 | 928,169.1 | 19,049,626 | 47,622,957 | 0 | 93,726,711 |
| 2022-08-10T00:00:00 | 27,395,172 | 1,044,399.6 | 20,269,032 | 51,368,487 | 0 | 100,077,092 |
| 2022-08-11T00:00:00 | 26,749,152 | 1,055,262.3 | 19,668,040 | 49,809,935 | 0 | 97,282,390 |
| 2022-08-12T00:00:00 | 27,600,538 | 1,137,154.0 | 20,146,997 | 51,330,435 | 0 | 100,215,124 |
| 2022-08-13T00:00:00 | 27,168,372 | 1,155,446.2 | 20,064,399 | 50,562,113 | 0 | 98,950,330 |
| 2022-08-14T00:00:00 | 24,909,652 | 1,114,271.4 | 19,945,269 | 50,293,229 | 0 | 96,262,421 |
| timestamp | KAR | KSM | LKSM | taiKSM | Total |
|---|---|---|---|---|---|
| 2022-06-06T00:00:00 | 3,476,339 | 727,034.2 | 10,024,188 | 0 | 14,227,562 |
| 2022-06-07T00:00:00 | 3,351,426 | 689,939.1 | 9,964,603 | 0 | 14,005,969 |
| 2022-06-08T00:00:00 | 3,286,016 | 683,342.4 | 9,936,292 | 0 | 13,905,651 |
| 2022-06-09T00:00:00 | 3,406,740 | 693,785.0 | 9,975,574 | 0 | 14,076,099 |
| 2022-06-10T00:00:00 | 3,193,153 | 607,535.8 | 8,831,751 | 0 | 12,632,440 |
| 2022-06-11T00:00:00 | 3,060,626 | 621,186.1 | 8,634,557 | 0 | 12,316,369 |
| 2022-06-12T00:00:00 | 2,993,526 | 597,004.8 | 7,777,334 | 0 | 11,367,864 |
| 2022-06-13T00:00:00 | 2,742,727 | 566,751.6 | 6,393,530 | 0 | 9,703,009 |
| 2022-06-14T00:00:00 | 3,019,306 | 610,982.6 | 7,106,681 | 0 | 10,736,969 |
| 2022-06-15T00:00:00 | 3,212,076 | 766,449.7 | 8,030,829 | 0 | 12,009,355 |
| 2022-06-16T00:00:00 | 2,937,299 | 667,271.2 | 6,565,903 | 0 | 10,170,473 |
| 2022-06-17T00:00:00 | 2,968,244 | 676,115.0 | 6,593,298 | 0 | 10,237,658 |
| 2022-06-18T00:00:00 | 2,957,206 | 620,473.8 | 6,564,549 | 0 | 10,142,229 |
| 2022-06-19T00:00:00 | 3,180,944 | 655,292.7 | 6,822,374 | 0 | 10,658,611 |
| 2022-06-20T00:00:00 | 3,231,552 | 710,358.1 | 7,120,949 | 0 | 11,062,858 |
| 2022-06-21T00:00:00 | 3,228,147 | 782,258.0 | 7,260,273 | 0 | 11,270,679 |
| 2022-06-22T00:00:00 | 3,183,708 | 733,275.3 | 7,080,100 | 0 | 10,997,083 |
| 2022-06-23T00:00:00 | 3,110,691 | 736,316.0 | 7,346,634 | 0 | 11,193,642 |
| 2022-06-24T00:00:00 | 3,223,059 | 783,479.5 | 7,834,265 | 0 | 11,840,803 |
| 2022-06-25T00:00:00 | 3,148,857 | 781,086.2 | 7,759,202 | 0 | 11,689,145 |
| 2022-06-26T00:00:00 | 3,626,444 | 808,222.5 | 6,845,820 | 0 | 11,280,487 |
| 2022-06-27T00:00:00 | 3,605,661 | 719,956.2 | 6,853,096 | 0 | 11,178,714 |
| 2022-06-28T00:00:00 | 3,698,800 | 687,686.5 | 6,397,519 | 0 | 10,784,005 |
| 2022-06-29T00:00:00 | 3,801,304 | 666,744.5 | 6,365,443 | 0 | 10,833,491 |
| 2022-06-30T00:00:00 | 3,882,835 | 592,852.0 | 6,008,241 | 0 | 10,483,928 |
| 2022-07-01T00:00:00 | 4,059,260 | 631,663.7 | 6,287,806 | 0 | 10,978,730 |
| 2022-07-02T00:00:00 | 4,562,861 | 645,961.3 | 6,414,225 | 0 | 11,623,048 |
| 2022-07-03T00:00:00 | 4,420,403 | 652,922.7 | 6,465,534 | 0 | 11,538,859 |
| 2022-07-04T00:00:00 | 4,721,230 | 672,290.2 | 6,824,433 | 0 | 12,217,953 |
| 2022-07-05T00:00:00 | 4,655,158 | 672,548.9 | 6,723,331 | 0 | 12,051,037 |
| 2022-07-06T00:00:00 | 4,619,995 | 671,571.3 | 6,878,963 | 0 | 12,170,529 |
| 2022-07-07T00:00:00 | 4,580,904 | 690,141.2 | 7,170,385 | 0 | 12,441,430 |
| 2022-07-08T00:00:00 | 4,560,569 | 693,704.3 | 7,281,724 | 0 | 12,535,997 |
| 2022-07-09T00:00:00 | 4,464,750 | 705,729.7 | 7,458,236 | 0 | 12,628,716 |
| 2022-07-10T00:00:00 | 4,306,606 | 665,716.3 | 7,028,016 | 0 | 12,000,338 |
| 2022-07-11T00:00:00 | 4,034,222 | 646,559.5 | 7,453,838 | 0 | 12,134,619 |
| 2022-07-12T00:00:00 | 4,067,395 | 631,382.7 | 7,621,307 | 0 | 12,320,085 |
| 2022-07-13T00:00:00 | 4,208,592 | 639,982.3 | 7,700,630 | 0 | 12,549,204 |
| 2022-07-14T00:00:00 | 4,405,164 | 644,179.9 | 8,175,598 | 0 | 13,224,942 |
| 2022-07-15T00:00:00 | 4,486,857 | 724,338.8 | 8,849,188 | 0 | 14,060,384 |
| 2022-07-16T00:00:00 | 4,490,034 | 745,789.3 | 9,125,257 | 0 | 14,361,080 |
| 2022-07-17T00:00:00 | 4,349,620 | 724,598.2 | 8,883,550 | 0 | 13,957,768 |
| 2022-07-18T00:00:00 | 4,592,360 | 832,010.1 | 9,806,741 | 0 | 15,231,111 |
| 2022-07-19T00:00:00 | 4,598,209 | 849,097.7 | 10,004,309 | 0 | 15,451,616 |
| 2022-07-20T00:00:00 | 4,595,138 | 782,512.2 | 9,281,540 | 0 | 14,659,191 |
| 2022-07-21T00:00:00 | 4,542,545 | 790,507.9 | 9,540,538 | 0 | 14,873,591 |
| 2022-07-22T00:00:00 | 4,746,705 | 827,019.4 | 10,391,415 | 0 | 15,965,139 |
| 2022-07-23T00:00:00 | 4,418,674 | 782,442.1 | 10,464,238 | 0 | 15,665,354 |
| 2022-07-24T00:00:00 | 4,311,737 | 763,899.2 | 10,198,301 | 0 | 15,273,937 |
| 2022-07-25T00:00:00 | 4,116,124 | 696,010.3 | 9,355,526 | 0 | 14,167,661 |
| 2022-07-26T00:00:00 | 3,903,343 | 596,148.0 | 9,004,347 | 0 | 13,503,837 |
| 2022-07-27T00:00:00 | 4,130,619 | 672,628.1 | 9,507,165 | 0 | 14,310,412 |
| 2022-07-28T00:00:00 | 4,368,254 | 745,235.1 | 10,256,810 | 0 | 15,370,299 |
| 2022-07-29T00:00:00 | 4,117,630 | 718,219.2 | 10,134,842 | 0 | 14,970,691 |
| 2022-07-30T00:00:00 | 4,108,322 | 722,222.5 | 10,222,468 | 0 | 15,053,012 |
| 2022-07-31T00:00:00 | 4,229,755 | 737,823.4 | 10,408,295 | 0 | 15,375,873 |
| 2022-08-01T00:00:00 | 4,106,275 | 713,357.3 | 10,257,515 | 0 | 15,077,147 |
| 2022-08-02T00:00:00 | 4,099,243 | 687,398.9 | 9,976,401 | 0 | 14,763,044 |
| 2022-08-03T00:00:00 | 4,173,187 | 704,185.5 | 10,179,102 | 0 | 15,056,475 |
| 2022-08-04T00:00:00 | 4,033,082 | 665,252.8 | 9,844,259 | 0 | 14,542,594 |
| 2022-08-05T00:00:00 | 4,167,533 | 681,475.4 | 10,209,931 | 0 | 15,058,939 |
| 2022-08-06T00:00:00 | 4,641,483 | 734,373.8 | 10,949,857 | 0 | 16,325,714 |
| 2022-08-07T00:00:00 | 4,550,684 | 759,059.4 | 10,668,546 | 0 | 15,978,289 |
| 2022-08-08T00:00:00 | 4,569,666 | 727,252.6 | 11,959,969 | 0 | 17,256,887 |
| 2022-08-09T00:00:00 | 4,221,155 | 652,504.1 | 11,202,429 | 0 | 16,076,088 |
| 2022-08-10T00:00:00 | 4,462,958 | 691,281.7 | 11,592,015 | 0 | 16,746,255 |
| 2022-08-11T00:00:00 | 4,189,391 | 653,637.0 | 11,260,066 | 0 | 16,103,094 |
| 2022-08-12T00:00:00 | 4,158,005 | 651,302.4 | 11,257,498 | 0 | 16,066,806 |
| 2022-08-13T00:00:00 | 4,194,475 | 658,894.8 | 11,355,257 | 0 | 16,208,627 |
| 2022-08-14T00:00:00 | 3,782,947 | 638,729.4 | 10,855,147 | 0 | 15,276,823 |
| 2022-08-15T00:00:00 | 3,789,446 | 634,209.0 | 10,749,360 | 0 | 15,173,016 |
| 2022-08-16T00:00:00 | 3,508,774 | 609,514.7 | 10,425,502 | 0 | 14,543,791 |
| 2022-08-17T00:00:00 | 3,436,024 | 595,130.0 | 9,771,686 | 0 | 13,802,840 |
| 2022-08-18T00:00:00 | 3,367,908 | 605,500.7 | 9,460,063 | 0 | 13,433,472 |
| 2022-08-19T00:00:00 | 3,120,498 | 517,378.3 | 8,522,586 | 0 | 12,160,462 |
| 2022-08-20T00:00:00 | 3,080,131 | 514,118.3 | 8,472,071 | 0 | 12,066,321 |
| 2022-08-21T00:00:00 | 3,364,522 | 538,329.1 | 8,891,196 | 0 | 12,794,048 |
| 2022-08-22T00:00:00 | 3,491,303 | 510,825.0 | 7,985,493 | 0 | 11,987,621 |
| 2022-08-23T00:00:00 | 3,541,915 | 544,001.5 | 7,974,719 | 0 | 12,060,635 |
| 2022-08-24T00:00:00 | 3,470,645 | 535,243.0 | 7,939,737 | 0 | 11,945,625 |
| 2022-08-25T00:00:00 | 3,334,935 | 522,326.5 | 7,797,947 | 0 | 11,655,209 |
| 2022-08-26T00:00:00 | 3,234,498 | 186,077.8 | 7,155,999 | 0 | 10,576,575 |
| 2022-08-27T00:00:00 | 3,162,856 | 182,247.9 | 7,312,433 | 0 | 10,657,537 |
| 2022-08-28T00:00:00 | 3,228,929 | 190,707.5 | 7,737,449 | 0 | 11,157,085 |
| 2022-08-29T00:00:00 | 3,227,967 | 187,558.2 | 8,242,280 | 0 | 11,657,805 |
| 2022-08-30T00:00:00 | 3,175,510 | 204,179.6 | 7,898,350 | 0 | 11,278,040 |
| 2022-08-31T00:00:00 | 3,113,381 | 199,376.9 | 7,963,706 | 0 | 11,276,464 |
| 2022-09-01T00:00:00 | 0 | 193,551.1 | 7,829,840 | 0 | 8,023,391 |
| 2022-09-02T00:00:00 | 3,167,422 | 199,727.5 | 7,995,413 | 0 | 11,362,563 |
| 2022-09-03T00:00:00 | 3,070,679 | 207,037.9 | 8,025,383 | 0 | 11,303,100 |
| timestamp | ACA | DOT | KAR | KSM | LCDOT | LDOT | LKSM | Total |
|---|---|---|---|---|---|---|---|---|
| 2022-06-06T00:00:00 | 32,149,212 | 858,791.5 | 3,476,339 | 727,034.2 | 18,148,319 | 37,656,963 | 10,024,188 | 103,040,847 |
| 2022-06-07T00:00:00 | 31,450,008 | 917,979.3 | 3,351,426 | 689,939.1 | 17,940,867 | 36,946,590 | 9,964,603 | 101,261,412 |
| 2022-06-08T00:00:00 | 30,275,763 | 915,780.5 | 3,286,016 | 683,342.4 | 17,413,019 | 36,642,380 | 9,936,292 | 99,152,594 |
| 2022-06-09T00:00:00 | 30,309,521 | 922,628.8 | 3,406,740 | 693,785.0 | 17,700,179 | 37,755,726 | 9,975,574 | 100,764,155 |
| 2022-06-10T00:00:00 | 28,214,617 | 875,142.9 | 3,193,153 | 607,535.8 | 16,656,549 | 35,508,739 | 8,831,751 | 93,887,488 |
| 2022-06-11T00:00:00 | 26,233,595 | 805,465.4 | 3,060,626 | 621,186.1 | 15,491,476 | 33,084,923 | 8,634,557 | 87,931,828 |
| 2022-06-12T00:00:00 | 22,991,572 | 755,318.7 | 2,993,526 | 597,004.8 | 14,364,876 | 30,900,261 | 7,777,334 | 80,379,892 |
| 2022-06-13T00:00:00 | 22,496,740 | 603,357.8 | 2,742,727 | 566,751.6 | 12,804,107 | 28,265,405 | 6,393,530 | 73,872,618 |
| 2022-06-14T00:00:00 | 23,222,224 | 632,095.6 | 3,019,306 | 610,982.6 | 13,644,103 | 30,129,663 | 7,106,681 | 78,365,054 |
| 2022-06-15T00:00:00 | 24,635,191 | 795,036.9 | 3,212,076 | 766,449.7 | 15,350,110 | 34,491,243 | 8,030,829 | 87,280,935 |
| 2022-06-16T00:00:00 | 21,455,791 | 698,138.4 | 2,937,299 | 667,271.2 | 13,074,550 | 28,884,839 | 6,565,903 | 74,283,791 |
| 2022-06-17T00:00:00 | 21,588,106 | 708,291.1 | 2,968,244 | 676,115.0 | 13,556,319 | 30,107,827 | 6,593,298 | 76,198,201 |
| 2022-06-18T00:00:00 | 20,495,011 | 698,151.5 | 2,957,206 | 620,473.8 | 12,940,192 | 29,219,980 | 6,564,549 | 73,495,562 |
| 2022-06-19T00:00:00 | 21,666,317 | 736,484.7 | 3,180,944 | 655,292.7 | 13,704,383 | 30,874,634 | 6,822,374 | 77,640,430 |
| 2022-06-20T00:00:00 | 21,933,866 | 757,604.7 | 3,231,552 | 710,358.1 | 15,344,393 | 32,331,287 | 7,120,949 | 81,430,009 |
| 2022-06-21T00:00:00 | 22,391,510 | 783,003.7 | 3,228,147 | 782,258.0 | 15,454,004 | 32,076,181 | 7,260,273 | 81,975,377 |
| 2022-06-22T00:00:00 | 21,110,303 | 751,727.2 | 3,183,708 | 733,275.3 | 14,816,964 | 30,849,626 | 7,080,100 | 78,525,704 |
| 2022-06-23T00:00:00 | 22,411,324 | 781,462.3 | 3,110,691 | 736,316.0 | 15,312,177 | 32,069,474 | 7,346,634 | 81,768,078 |
| 2022-06-24T00:00:00 | 23,120,727 | 811,492.4 | 3,223,059 | 783,479.5 | 16,312,613 | 34,050,408 | 7,834,265 | 86,136,044 |
| 2022-06-25T00:00:00 | 22,328,789 | 780,487.2 | 3,148,857 | 781,086.2 | 15,826,700 | 33,575,946 | 7,759,202 | 84,201,067 |
| 2022-06-26T00:00:00 | 21,583,988 | 798,118.8 | 3,626,444 | 808,222.5 | 15,836,322 | 32,745,570 | 6,845,820 | 82,244,487 |
| 2022-06-27T00:00:00 | 21,879,730 | 795,040.0 | 3,605,661 | 719,956.2 | 15,324,248 | 32,619,704 | 6,853,096 | 81,797,436 |
| 2022-06-28T00:00:00 | 19,847,103 | 737,016.7 | 3,698,800 | 687,686.5 | 14,300,964 | 30,529,655 | 6,397,519 | 76,198,745 |
| 2022-06-29T00:00:00 | 19,494,983 | 703,022.7 | 3,801,304 | 666,744.5 | 13,757,575 | 29,397,328 | 6,365,443 | 74,186,400 |
| 2022-06-30T00:00:00 | 19,174,576 | 680,719.4 | 3,882,835 | 592,852.0 | 13,339,374 | 28,703,383 | 6,008,241 | 72,381,980 |
| 2022-07-01T00:00:00 | 18,991,081 | 667,664.3 | 4,059,260 | 631,663.7 | 13,317,313 | 29,121,571 | 6,287,806 | 73,076,359 |
| 2022-07-02T00:00:00 | 18,563,027 | 671,815.6 | 4,562,861 | 645,961.3 | 13,376,045 | 29,315,228 | 6,414,225 | 73,549,163 |
| 2022-07-03T00:00:00 | 18,406,482 | 706,142.6 | 4,420,403 | 652,922.7 | 13,374,999 | 29,354,634 | 6,465,534 | 73,381,117 |
| 2022-07-04T00:00:00 | 20,295,676 | 728,463.1 | 4,721,230 | 672,290.2 | 13,951,594 | 30,848,872 | 6,824,433 | 78,042,557 |
| 2022-07-05T00:00:00 | 18,995,785 | 707,868.0 | 4,655,158 | 672,548.9 | 13,447,543 | 29,737,130 | 6,723,331 | 74,939,363 |
| 2022-07-06T00:00:00 | 19,445,111 | 710,456.6 | 4,619,995 | 671,571.3 | 13,631,510 | 30,191,768 | 6,878,963 | 76,149,375 |
| 2022-07-07T00:00:00 | 19,668,445 | 681,966.7 | 4,580,904 | 690,141.2 | 14,211,968 | 31,786,189 | 7,170,385 | 78,789,999 |
| 2022-07-08T00:00:00 | 19,058,395 | 668,427.0 | 4,560,569 | 693,704.3 | 13,966,697 | 31,580,103 | 7,281,724 | 77,809,619 |
| 2022-07-09T00:00:00 | 19,827,540 | 677,465.2 | 4,464,750 | 705,729.7 | 14,300,922 | 32,287,916 | 7,458,236 | 79,722,559 |
| 2022-07-10T00:00:00 | 18,568,976 | 641,177.3 | 4,306,606 | 665,716.3 | 13,468,512 | 30,485,084 | 7,028,016 | 75,164,087 |
| 2022-07-11T00:00:00 | 17,681,063 | 614,222.3 | 4,034,222 | 646,559.5 | 12,942,713 | 29,615,778 | 7,453,838 | 72,988,395 |
| 2022-07-12T00:00:00 | 17,550,325 | 611,774.8 | 4,067,395 | 631,382.7 | 12,487,963 | 28,941,346 | 7,621,307 | 71,911,493 |
| 2022-07-13T00:00:00 | 17,918,817 | 626,714.4 | 4,208,592 | 639,982.3 | 12,615,071 | 29,286,431 | 7,700,630 | 72,996,238 |
| 2022-07-14T00:00:00 | 18,400,771 | 651,171.7 | 4,405,164 | 644,179.9 | 13,123,691 | 30,599,902 | 8,175,598 | 76,000,478 |
| 2022-07-15T00:00:00 | 18,243,398 | 647,829.0 | 4,486,857 | 724,338.8 | 13,444,888 | 32,937,709 | 8,849,188 | 79,334,207 |
| 2022-07-16T00:00:00 | 18,557,820 | 670,664.1 | 4,490,034 | 745,789.3 | 14,156,201 | 34,663,793 | 9,125,257 | 82,409,559 |
| 2022-07-17T00:00:00 | 18,523,988 | 659,963.8 | 4,349,620 | 724,598.2 | 13,997,952 | 33,856,505 | 8,883,550 | 80,996,177 |
| 2022-07-18T00:00:00 | 20,160,227 | 688,315.5 | 4,592,360 | 832,010.1 | 15,138,817 | 36,535,721 | 9,806,741 | 87,754,192 |
| 2022-07-19T00:00:00 | 20,922,192 | 750,385.3 | 4,598,209 | 849,097.7 | 15,808,215 | 38,360,177 | 10,004,309 | 91,292,585 |
| 2022-07-20T00:00:00 | 19,390,390 | 720,839.2 | 4,595,138 | 782,512.2 | 15,392,960 | 36,682,596 | 9,281,540 | 86,845,976 |
| 2022-07-21T00:00:00 | 21,495,915 | 718,839.1 | 4,542,545 | 790,507.9 | 15,218,790 | 36,908,329 | 9,540,538 | 89,215,464 |
| 2022-07-22T00:00:00 | 23,599,878 | 715,661.4 | 4,746,705 | 827,019.4 | 14,926,763 | 37,665,629 | 10,391,415 | 92,873,070 |
| 2022-07-23T00:00:00 | 22,811,534 | 727,479.5 | 4,418,674 | 782,442.1 | 15,129,212 | 37,664,469 | 10,464,238 | 91,998,049 |
| 2022-07-24T00:00:00 | 22,502,161 | 746,363.8 | 4,311,737 | 763,899.2 | 15,437,344 | 38,284,868 | 10,198,301 | 92,244,673 |
| 2022-07-25T00:00:00 | 20,408,396 | 688,271.2 | 4,116,124 | 696,010.3 | 14,219,936 | 35,628,140 | 9,355,526 | 85,112,404 |
| 2022-07-26T00:00:00 | 19,308,277 | 674,469.1 | 3,903,343 | 596,148.0 | 13,531,433 | 34,706,528 | 9,004,347 | 81,724,544 |
| 2022-07-27T00:00:00 | 20,857,124 | 748,014.4 | 4,130,619 | 672,628.1 | 15,195,497 | 38,442,238 | 9,507,165 | 89,553,286 |
| 2022-07-28T00:00:00 | 21,510,630 | 762,689.1 | 4,368,254 | 745,235.1 | 16,277,246 | 40,730,342 | 10,256,810 | 94,651,207 |
| 2022-07-29T00:00:00 | 21,625,865 | 745,266.6 | 4,117,630 | 718,219.2 | 17,259,796 | 43,154,854 | 10,134,842 | 97,756,472 |
| 2022-07-30T00:00:00 | 20,960,442 | 749,457.5 | 4,108,322 | 722,222.5 | 17,099,196 | 42,550,800 | 10,222,468 | 96,412,906 |
| 2022-07-31T00:00:00 | 21,186,304 | 794,884.7 | 4,229,755 | 737,823.4 | 17,998,663 | 45,298,046 | 10,408,295 | 100,653,772 |
| 2022-08-01T00:00:00 | 22,814,169 | 738,825.8 | 4,106,275 | 713,357.3 | 16,980,782 | 42,715,172 | 10,257,515 | 98,326,096 |
| 2022-08-02T00:00:00 | 20,909,352 | 728,714.0 | 4,099,243 | 687,398.9 | 16,567,033 | 41,792,290 | 9,976,401 | 94,760,433 |
| 2022-08-03T00:00:00 | 20,460,499 | 773,912.9 | 4,173,187 | 704,185.5 | 17,222,967 | 41,956,485 | 10,179,102 | 95,470,339 |
| 2022-08-04T00:00:00 | 23,510,513 | 743,998.2 | 4,033,082 | 665,252.8 | 16,624,930 | 42,465,311 | 9,844,259 | 97,887,346 |
| 2022-08-05T00:00:00 | 25,055,183 | 834,811.8 | 4,167,533 | 681,475.4 | 18,024,583 | 46,154,776 | 10,209,931 | 105,128,294 |
| 2022-08-06T00:00:00 | 27,456,827 | 873,856.5 | 4,641,483 | 734,373.8 | 17,867,054 | 45,277,709 | 10,949,857 | 107,801,160 |
| 2022-08-07T00:00:00 | 27,852,180 | 887,309.2 | 4,550,684 | 759,059.4 | 18,029,858 | 45,965,679 | 10,668,546 | 108,713,315 |
| 2022-08-08T00:00:00 | 27,579,970 | 967,728.9 | 4,569,666 | 727,252.6 | 19,250,929 | 49,305,821 | 11,959,969 | 114,361,335 |
| 2022-08-09T00:00:00 | 26,125,959 | 928,169.1 | 4,221,155 | 652,504.1 | 19,049,626 | 47,622,957 | 11,202,429 | 109,802,800 |
| 2022-08-10T00:00:00 | 27,395,172 | 1,044,399.6 | 4,462,958 | 691,281.7 | 20,269,032 | 51,368,487 | 11,592,015 | 116,823,346 |
| 2022-08-11T00:00:00 | 26,749,152 | 1,055,262.3 | 4,189,391 | 653,637.0 | 19,668,040 | 49,809,935 | 11,260,066 | 113,385,484 |
| 2022-08-12T00:00:00 | 27,600,538 | 1,137,154.0 | 4,158,005 | 651,302.4 | 20,146,997 | 51,330,435 | 11,257,498 | 116,281,930 |
| 2022-08-13T00:00:00 | 27,168,372 | 1,155,446.2 | 4,194,475 | 658,894.8 | 20,064,399 | 50,562,113 | 11,355,257 | 115,158,957 |
| 2022-08-14T00:00:00 | 24,909,652 | 1,114,271.4 | 3,782,947 | 638,729.4 | 19,945,269 | 50,293,229 | 10,855,147 | 111,539,244 |
| 2022-08-15T00:00:00 | 0 | 0.0 | 3,789,446 | 634,209.0 | 0 | 0 | 10,749,360 | 15,173,016 |
| 2022-08-16T00:00:00 | 0 | 0.0 | 3,508,774 | 609,514.7 | 0 | 0 | 10,425,502 | 14,543,791 |
| 2022-08-17T00:00:00 | 0 | 0.0 | 3,436,024 | 595,130.0 | 0 | 0 | 9,771,686 | 13,802,840 |
| 2022-08-18T00:00:00 | 0 | 0.0 | 3,367,908 | 605,500.7 | 0 | 0 | 9,460,063 | 13,433,472 |
| 2022-08-19T00:00:00 | 0 | 0.0 | 3,120,498 | 517,378.3 | 0 | 0 | 8,522,586 | 12,160,462 |
| 2022-08-20T00:00:00 | 0 | 0.0 | 3,080,131 | 514,118.3 | 0 | 0 | 8,472,071 | 12,066,321 |
| 2022-08-21T00:00:00 | 0 | 0.0 | 3,364,522 | 538,329.1 | 0 | 0 | 8,891,196 | 12,794,048 |
| 2022-08-22T00:00:00 | 0 | 0.0 | 3,491,303 | 510,825.0 | 0 | 0 | 7,985,493 | 11,987,621 |
| 2022-08-23T00:00:00 | 0 | 0.0 | 3,541,915 | 544,001.5 | 0 | 0 | 7,974,719 | 12,060,635 |
| 2022-08-24T00:00:00 | 0 | 0.0 | 3,470,645 | 535,243.0 | 0 | 0 | 7,939,737 | 11,945,625 |
| 2022-08-25T00:00:00 | 0 | 0.0 | 3,334,935 | 522,326.5 | 0 | 0 | 7,797,947 | 11,655,209 |
| 2022-08-26T00:00:00 | 0 | 0.0 | 3,234,498 | 186,077.8 | 0 | 0 | 7,155,999 | 10,576,575 |
| 2022-08-27T00:00:00 | 0 | 0.0 | 3,162,856 | 182,247.9 | 0 | 0 | 7,312,433 | 10,657,537 |
| 2022-08-28T00:00:00 | 0 | 0.0 | 3,228,929 | 190,707.5 | 0 | 0 | 7,737,449 | 11,157,085 |
| 2022-08-29T00:00:00 | 0 | 0.0 | 3,227,967 | 187,558.2 | 0 | 0 | 8,242,280 | 11,657,805 |
| 2022-08-30T00:00:00 | 0 | 0.0 | 3,175,510 | 204,179.6 | 0 | 0 | 7,898,350 | 11,278,040 |
| 2022-08-31T00:00:00 | 0 | 0.0 | 3,113,381 | 199,376.9 | 0 | 0 | 7,963,706 | 11,276,464 |
| 2022-09-01T00:00:00 | 0 | 0.0 | 0 | 193,551.1 | 0 | 0 | 7,829,840 | 8,023,391 |
| 2022-09-02T00:00:00 | 0 | 0.0 | 3,167,422 | 199,727.5 | 0 | 0 | 7,995,413 | 11,362,563 |
| 2022-09-03T00:00:00 | 0 | 0.0 | 3,070,679 | 207,037.9 | 0 | 0 | 8,025,383 | 11,303,100 |
---
title: "Acala / Karura aUSD Dashboard"
output:
flexdashboard::flex_dashboard:
orientation: rows
vertical_layout: scroll
social: menu
source_code: embed
flexdashboard::valueBox():
orientation: rows
source_code: embed
vertical_layout: fill
---
```{css custom1, echo=FALSE}
.dataTables_scrollBody {
max-height: 100% !important;
}
```
```{r global, include=FALSE}
library(knitr)
knitr::opts_chunk$set(
message = FALSE,
warning = FALSE,
comment = "#>"
)
library(ggplot2)
library(ggpubr)
# library(dygraphs)
library(kableExtra)
library(formattable)
library(lubridate)
library(flexdashboard)
library(DT)
library(subscanr)
library(formattable)
library(ghql)
x <- GraphqlClient$new()
# Helper function to concat
`%+%` <- function(a, b) paste0(a, b)
window <- 90
k_collateral <- getLoansDailyCollateral_acala_loan("Karura", window)
k_current_collateral <- k_collateral[Date == max(Date), .(collateral.id, depositVolumeUSD)]
k_current_collateral <- k_current_collateral[depositVolumeUSD > 0]
k_collateral[, pct := round(depositVolumeUSD / sum(depositVolumeUSD), 3) * 100, by = "Date"]
k_collateral[, labs := pct %+% "%", by = "Date"]
setorder(k_collateral, pct)
k_current_collateral <- k_collateral[Date == max(Date), .(collateral.id, depositVolumeUSD)]
k_current_collateral <- k_collateral[depositVolumeUSD > 0 & Date == max(Date), .(collateral.id, depositVolumeUSD, pct, labs)]
max(k_collateral$Date)
a_collateral <- getLoansDailyCollateral_acala_loan("acala", window)
a_collateral[, pct := round(depositVolumeUSD / sum(depositVolumeUSD), 3) * 100, by = "Date"]
a_collateral[, labs := pct %+% "%", by = "Date"]
setorder(a_collateral, pct)
a_current_collateral <- a_collateral[depositVolumeUSD > 0 & Date == max(Date), .(collateral.id, depositVolumeUSD, pct, labs)]
max(a_collateral$Date)
# both_collateral <- rbind(k_collateral, a_collateral, fill = TRUE)
# both_current_collateral <- both_collateral[Date == max(Date), .(collateral.id, depositVolumeUSD)]
both_collateral <- rbind(k_collateral, a_collateral)
both_collateral[, pct := NULL]
both_collateral[, labs := NULL]
both_collateral[, pct := round(depositVolumeUSD / sum(depositVolumeUSD), 3) * 100, by = "timestamp"]
both_collateral[, labs := pct %+% "%"]
setorder(both_collateral, pct)
both_collateral <- both_collateral[depositVolumeUSD > 0]
both_current_collateral <- both_collateral[depositVolumeUSD > 0 & Date == max(Date), .(collateral.id, depositVolumeUSD, pct, labs)]
# Collateralization Ratio
k_cratio <- k_collateral[, sum(depositVolumeUSD) / sum(debitVolumeUSD), by = Date] %>%
setnames("V1", "Karura Collateralization Ratio")
a_cratio <- a_collateral[, sum(depositVolumeUSD) / sum(debitVolumeUSD), by = Date] %>%
setnames("V1", "Acala Collateralization Ratio")
both_cratio <- both_collateral[, sum(depositVolumeUSD) / sum(debitVolumeUSD), by = Date] %>%
setnames("V1", "Combined Collateralization Ratio")
# Stablecoin percentage of collateral
k_pct_stablecoin <- k_collateral[, (sum(debitVolumeUSD) / sum(depositVolumeUSD))*100, by = Date] %>%
setnames("V1", "Karura Stablecoin Percentage of Collateral")
a_pct_stablecoin <- a_collateral[, (sum(debitVolumeUSD) / sum(depositVolumeUSD))*100, by = Date] %>%
setnames("V1", "Acala Stablecoin Percentage of Collateral")
both_pct_stablecoin <- both_collateral[, (sum(debitVolumeUSD) / sum(depositVolumeUSD))*100, by = Date] %>%
setnames("V1", "Combined Stablecoin Percentage of Collateral")
a_params_current <- getLoansCollateralParams_acala_loan("Acala")
k_params_current <- getLoansCollateralParams_acala_loan("Karura")
cols <- c("collateral.id","maximumTotalDebitValue","liquidationRatio","requiredCollateralRatio")
a_params_current[, ..cols]
k_params_current[, ..cols]
a_params <- getLoansCollateralParamsHistory_acala_loan("Acala")
# a_params
k_params <- getLoansCollateralParamsHistory_acala_loan("Karura")
params <- rbind(a_params, k_params)
params[, Date := as.Date(startAt)]
params[, Block := as.numeric(startAtBlockId)]
params[, maximumTotalDebitValue := as.numeric(maximumTotalDebitValue)]
params[, interestRatePerSec := as.numeric(interestRatePerSec)]
params[, interestRateAnnualized := ((interestRatePerSec / 1e18 + 1) ** (365 * 86400) - 1)]
# summary(params$interestRateAnnualized)
# names(params)
# str(params)
params_long <- melt(params, id.vars=c("collateral.id", "Block"), measure.vars=c("maximumTotalDebitValue","interestRateAnnualized","liquidationRatio","liquidationPenalty","requiredCollateralRatio"))
params_long <- unique(params_long)
setorder(params_long, collateral.id, variable, Block)
params_long[, .N, by = collateral.id]
tag <- "KAR"
params_long[collateral.id == tag & Block > 376050]
kar_params <- ggplot(params_long[collateral.id == tag & Block > 376050], aes(Block, value)) +
geom_line() +
facet_wrap(vars(variable), scales = "free_y", nrow = 2, strip.position = "top") +
theme(strip.background = element_blank(), strip.placement = "outside") +
theme(axis.text.x=element_text(angle = -90, hjust = 0))
# theme_void() # remove background, grid, numeric labels
# Liquidity Pool TVL ($3.72M) = totalDefiTvl = totalDexTvl + totalDexLockedTvl + homaLocked + stableCoinTvl
kdex <- getDailyPools_acala_dex("karura", window) %>%
setorder(Date, pair)
adex <- getDailyPools_acala_dex("acala", window) %>%
setorder(Date, pair)
adaily <- adex[, max(updateAtBlock.id), by = Date] %>%
setnames("V1", "blockAcala")
kdaily <- kdex[, max(updateAtBlock.id), by = Date] %>%
setnames("V1", "blockKarura")
dailyTVL <- merge(adaily, kdaily, by = 'Date')
library(reticulate)
# use_python("/opt/homebrew/bin/python3.9")
```
```{python, include=FALSE}
from substrateinterface import SubstrateInterface
import pandas as pd
def getFeePayment(network):
if network=="Karura":
url = 'wss://karura.polkawallet.io'
token = 'KUSD'
else:
url = 'wss://acala-rpc-0.aca-api.network'
token = 'AUSD'
substrate = SubstrateInterface(url)
data = []
for block_id in r.blocks:
hash = substrate.get_block_hash(0)
fee = substrate.query(module='TransactionPayment',storage_function='TransactionFeePaid', block_hash = hash)
outi = {"Block": block_id, 'aUSD': ausd.value / 10**12}
data.append(outi)
out = pd.DataFrame(data)
return out
def getTotalIssuance(network):
if network=="Karura":
url = 'wss://karura.polkawallet.io'
token = 'KUSD'
else:
url = 'wss://acala-rpc-0.aca-api.network'
token = 'AUSD'
substrate = SubstrateInterface(url)
data = []
for block_id in r.blocks:
hash = substrate.get_block_hash(int(block_id))
ausd = substrate.query(module='Tokens',storage_function='TotalIssuance', params = [{'Token': token}], block_hash = hash)
outi = {"Block": block_id, 'aUSD': ausd.value / 10**12}
data.append(outi)
out = pd.DataFrame(data)
return out
```
```{r tvl, cache = TRUE, include=FALSE}
blocks = as.character(dailyTVL$blockKarura)
kusd = py$getTotalIssuance("Karura")
blocks = as.character(dailyTVL$blockAcala)
ausd = py$getTotalIssuance("Acala")
dailyTVL[, blockAcala := as.numeric(blockAcala)]
dailyTVL[, blockKarura := as.numeric(blockKarura)]
kusd$Block <- as.numeric(kusd$Block)
ausd$Block <- as.numeric(ausd$Block)
dailyTVL <- merge(dailyTVL, kusd, by.x = "blockKarura", by.y = "Block") %>%
setnames("aUSD", "aUSD_Karura")
dailyTVL <- merge(dailyTVL, ausd, by.x = "blockAcala", by.y = "Block") %>%
setnames("aUSD", "aUSD_Acala")
dailyTVL[, aUSD_Total := aUSD_Karura + aUSD_Acala]
```
# Overview {.tabset}
Row
----
```{r}
myFormat <- function(x, prefix = "", suffix = "") prefix %+% (x %>% tail(1) %>% as.numeric %>% round(2) %>% format(nsmall=1, big.mark=",")) %+% suffix
ausd_total <- myFormat(dailyTVL[, aUSD_Total], "$", " USD")
ausd_karura <- myFormat(dailyTVL[, aUSD_Karura], "$", " USD")
ausd_acala <- myFormat(dailyTVL[, aUSD_Acala], "$", " USD")
cratio_combined <- myFormat(both_cratio$`Combined Collateralization Ratio`, suffix = "x")
cratio_karura <- myFormat(k_cratio$`Karura Collateralization Ratio`, suffix = "x")
cratio_acala <- myFormat(a_cratio$`Acala Collateralization Ratio`, suffix = "x")
pct_combined <- myFormat(both_pct_stablecoin$`Combined Stablecoin Percentage of Collateral`, suffix="%")
pct_karura <- myFormat(k_pct_stablecoin$`Karura Stablecoin Percentage of Collateral`, suffix="%")
pct_acala <- myFormat(a_pct_stablecoin$`Acala Stablecoin Percentage of Collateral`, suffix="%")
```
### aUSD Outstanding
`r valueBox(value = ausd_total)`
### aUSD Collateral Ratio
`r valueBox(value = cratio_combined)`
### Percentage of Collateral
`r valueBox(value = pct_combined)`
Row
----
* As of *`r tail(dailyTVL$Date, 1)`*, the combined aUSD value minted is *`r ausd_total`*.
* *`r ausd_acala`* on Acala (as of block number *`r tail(dailyTVL$blockAcala, 1)`*) and *`r ausd_karura`* on Karura (as of block number *`r tail(dailyTVL$blockKarura, 1)`*).
* The collateralizaion ratio is the value of the collateteral deposited divided by the amount of aUSD minted.
* The combined collateralization ratio is *`r cratio_combined`*.
* The ratio for the individual parachains are as follows: *`r cratio_acala`* for Acala and *`r cratio_karura`* for Karura.
* The reciprocal of the collareralization ratio shows the stablecoin issuance as a percentage of collateral, which is *`r pct_combined`* in aggregate.
* Specifically, *`r pct_acala`* for Acala and *`r pct_karura`* for Karura.
# Charts {.tabset}
Row
----
### Components of Total Value Locked
```{r k_plot1}
dat <- melt(data = dailyTVL[, .(Date, aUSD_Karura, aUSD_Acala)],
id.vars = "Date",
value.name = "aUSD")
dat[, aUSD := aUSD / 1e6]
# Stacked
ggplot(dat, aes(fill=variable, y=aUSD, x=Date)) +
geom_bar(position="stack", stat="identity") +
ggtitle(label="Issuance of aUSD") +
ylab("aUSD (in millions USD)")
```
Row
----
```{r pie, out.width = '33%'}
# ggpie chart
a_df <- as.data.frame(a_current_collateral)
k_df <- as.data.frame(k_current_collateral)
both_df <- as.data.frame(both_current_collateral)
ggpie(a_df, "pct", label = "labs", fill = "collateral.id", color = "white", lab.font = c(2, "bold", "red"), main = "aUSD collateral on Acala")
ggpie(k_df, "pct", label = "labs", fill = "collateral.id", color = "white", lab.font = c(2, "bold", "red"), main = "aUSD collateral on Karura")
ggpie(both_df, "pct", label = "labs", fill = "collateral.id", color = "white", lab.font = c(2, "bold", "red"), main = "aUSD collateral in Aggregate")
```
Row
----
```{r donut, out.width = '33%'}
# df <- data.frame(group = c("A", "B", "C","D"), value = c(1, 21, 26, 52))
# df$labs <- paste0(df$group, " (", df$value, "%)")
# ggdonutchart(df, "value", label = "labs", fill = "group", color = "white")
ggdonutchart(a_df, "pct", label = "labs", fill = "collateral.id", color = "white", lab.font = c(2, "bold", "red"), main = "aUSD collateral on Acala")
ggdonutchart(k_df, "pct", label = "labs", fill = "collateral.id", color = "white", lab.font = c(2, "bold", "red"), main = "aUSD collateral on Karura")
ggdonutchart(both_df, "pct", label = "labs", fill = "collateral.id", color = "white", lab.font = c(2, "bold", "red"), main = "aUSD collateral in Aggregate")
```
Row
----
```{r lollipop, out.width = '33%'}
# lollipop
ggplot(a_current_collateral, aes(x=collateral.id, y=depositVolumeUSD)) +
geom_segment( aes(x=collateral.id, xend=collateral.id, y=0, yend=depositVolumeUSD)) +
geom_point( size=5, color="red", fill=alpha("orange", 0.3), alpha=0.7, shape=21, stroke=2) +
ggtitle("aUSD collateral on Acala", ) +
theme(plot.title = element_text(color="red", size=14, face="plain"),
axis.title.x = element_blank(),
axis.title.y = element_text(color="#993333", size=14, face="plain")
)
ggplot(k_current_collateral, aes(x=collateral.id, y=depositVolumeUSD)) +
geom_segment( aes(x=collateral.id, xend=collateral.id, y=0, yend=depositVolumeUSD)) +
geom_point( size=5, color="red", fill=alpha("orange", 0.3), alpha=0.7, shape=21, stroke=2) +
ggtitle("aUSD collateral on Karura", ) +
theme(plot.title = element_text(color="red", size=14, face="plain"),
axis.title.x = element_blank(),
axis.title.y = element_text(color="#993333", size=14, face="plain")
)
ggplot(both_current_collateral, aes(x=collateral.id, y=depositVolumeUSD)) +
geom_segment( aes(x=collateral.id, xend=collateral.id, y=0, yend=depositVolumeUSD)) +
geom_point( size=5, color="red", fill=alpha("orange", 0.3), alpha=0.7, shape=21, stroke=2) +
ggtitle("aUSD collateral in Aggregate", ) +
theme(plot.title = element_text(color="red", size=14, face="plain"),
axis.title.x = element_blank(),
axis.title.y = element_text(color="#993333", size=14, face="plain")
)
```
Row
----
```{r collateralization_ratio, out.width = '33%'}
ggline(a_cratio, x = "Date", y = "Acala Collateralization Ratio", title = "Acala Collateralization Ratio", color = "red", ylab = "depositVolumeUSD / debitVolumeUSD", xlab = "")
ggline(k_cratio, x = "Date", y = "Karura Collateralization Ratio", title = "Karura Collateralization Ratio", color = "blue", ylab = "depositVolumeUSD / debitVolumeUSD", xlab = "")
ggline(both_cratio, x = "Date", y = "Combined Collateralization Ratio", title = "Combined Collateralization Ratio", color = "orange", ylab = "depositVolumeUSD / debitVolumeUSD", xlab = "")
```
Row
----
```{r pct_of_collatearl, out.width = '33%'}
# Stablecoin percentage of collateral
ggline(a_pct_stablecoin, x = "Date", y = "Acala Stablecoin Percentage of Collateral", title = "Acala Stablecoin percentage of collateral", color = "red", ylab = "debitVolumeUSD / depositVolumeUSD", xlab = "")
ggline(k_pct_stablecoin, x = "Date", y = "Karura Stablecoin Percentage of Collateral", title = "Karura Stablecoin percentage of collateral", color = "blue", ylab = "debitVolumeUSD / depositVolumeUSD", xlab = "")
ggline(both_pct_stablecoin, x = "Date", y = "Combined Stablecoin Percentage of Collateral", title = "Combined Stablecoin percentage of collateral", color = "orange", ylab = "debitVolumeUSD / depositVolumeUSD", xlab = "")
```
# Minting data {.tabset}
Row
----
### aUSD Issuance
```{r ausd}
knitr::kable(dailyTVL, escape = FALSE, format.args = list(big.mark = ",")) %>%
kable_styling()
```
Row
----
### Sources and Notes
Please click on the *Source Code* link at the top of the document to see the full source code. Here is a summary:
#### aUSD
- aUDS (or kUSD) obtained from the [py-substrate-interface](https://github.com/polkascan/py-substrate-interface) using function *substrate.query(module='Tokens',storage_function='TotalIssuance', params = [{'Token': 'AUSD'}], block_hash = hash)*
# Collateral data {.tabset}
Row
----
### aUSD Collateral
```{r collateal}
k_collateral_wide <- dcast(k_collateral, timestamp ~ collateral.id, value.var = "depositVolumeUSD", fun.aggregate = sum)
k_collateral_wide[, Total := rowSums(k_collateral_wide[, -1])]
a_collateral_wide <- dcast(a_collateral, timestamp ~ collateral.id, value.var = "depositVolumeUSD", fun.aggregate = sum)
a_collateral_wide[, Total := rowSums(a_collateral_wide[, -1])]
both_collateral_wide <- dcast(both_collateral, timestamp ~ collateral.id, value.var = "depositVolumeUSD", fun.aggregate = sum)
both_collateral_wide[, Total := rowSums(both_collateral_wide[, -1])]
knitr::kable(a_collateral_wide, escape = FALSE, format.args = list(big.mark = ","), caption = "aUSD Collateral on Acala") %>%
kable_styling()
knitr::kable(k_collateral_wide, escape = FALSE, format.args = list(big.mark = ","), caption = "aUSD Collateral on Karura") %>%
kable_styling()
knitr::kable(both_collateral_wide, escape = FALSE, format.args = list(big.mark = ","), caption = "aUSD Collateral in Aggregate") %>%
kable_styling()
```